Risk Factors, Subtypes and Outcome of Ischaemic Stroke in Kuwait – A Hospital-Based Study
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: To report on stroke subtypes, associated risk factors and outcome in Kuwait. METHODS: The records of 62 patients (30 male, 32 female) admitted with diagnosis of stroke to Kuwait Oil Company Hospital, Kuwait, a tertiary care hospital, during a 5-year period (1995-1999), were retrospectively reviewed. RESULTS: Small artery infarction was the most common subtype and occurred in 37 subjects (59.7%); less common were atherosclerotic large artery strokes (19 patients, 30.6%) and strokes of cardio-embolic origin (6 patients, 9.7%). Identifiable risk factors or associated morbidities were hypertension (72.5%), diabetes mellitus (69.4%), ischaemic heart disease (14.5%), history of migraine (8.1%), lone atrial fibrillation (5.0%), and valvular heart disease (1.6%). The most important determinants of a deleterious 30-day outcome, as indicated by severe disability or death, were female gender, lack of use of anti-platelet drugs, presence of a large artery infarction stroke subtype, and cardio-embolic stroke. CONCLUSION: Prevalence of hypertension and diabetes is high among patients with stroke in Kuwait, with rates higher than those found in any previous reports from the Gulf region. Two unusual observations were that women had a rather high frequency of stroke, and infarction of the small artery was more common than that of the large artery. Outcome, as indicated by severe disability or death, was worse among women, elderly patients, and those with large artery atherosclerotic and cardio-embolic strokes. There is some evidence that such a deleterious outcome might be ameliorated with use of anti-platelet drugs.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it